CN107103811A - A kind of virtual detection teaching platform and its application method with industrial ultra-thin materials production detection device - Google Patents
A kind of virtual detection teaching platform and its application method with industrial ultra-thin materials production detection device Download PDFInfo
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- CN107103811A CN107103811A CN201710366147.6A CN201710366147A CN107103811A CN 107103811 A CN107103811 A CN 107103811A CN 201710366147 A CN201710366147 A CN 201710366147A CN 107103811 A CN107103811 A CN 107103811A
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B19/00—Teaching not covered by other main groups of this subclass
Abstract
The invention discloses a kind of virtual detection teaching platform with industrial ultra-thin materials production detection device and its application method, platform includes entity detection device, Virtual Simulative Experiment room three-dimensional artificial detection device, virtual detection data module and virtual detection software program in Virtual Simulative Experiment room three-dimensional environment module, Virtual Simulative Experiment room.Application method includes accessing the content under " virtual detection simulation laboratory " catalogue；Access the content under " entity detection device show area " catalogue；Access the content under " virtual detection show area " catalogue；Access the content under " virtual software show area " catalogue；Website " experiment teaching materials " provides the guidance of 8 experiments.The application software of actual industrial production line and detection device, virtual dynamic analog production line and detection device and detection device is combined by the present invention, and making student, I shall appreciate it as a personal favour in operation, improves the ability of the connection between theory and practice of student.
Description
Technical field
It is particularly a kind of with industrial ultra-thin materials production detection device the present invention relates to Electronics and Information Engineering teaching field
Virtual detection teaching platform and its application method.
Background technology
Continuous improvement with society to applied university student's demand, existing graduate gives birth to vocational school and compared,
Generally existing manipulative ability is not enough, lays particular stress on knowwhy, and the accumulation of shortage enough management practice time and experience lacks enough
Various flexible Application professional knowledge contests tempers during many universities.Many colleges and universities have recognized that above mentioned problem, and in subject
The instructional mode of the connection between theory and practice is highlighted in construction, specialty structure and curricular system, more focuses on creative ability for students
Culture.In recent years, including the university campus that builds of laboratory networkization is information-based, digital Construction is exactly to solve the above problems
And deploy.Experimental teaching is to deepen the knowwhy of classroom instruction, the subjective initiative for playing student, culture scientific research and innovation energy
The important means of power, is, from the theoretical bridge for move towards practice, to be indispensable important composition link in college teaching, be to reflect
One of important symbol of colleges and universities' standard for running a school and scientific research level.The quality of experiment condition directly influences students ' practical ability, section
Grind the culture with initiative spirit.
But, the original scale in traditional experiment room oneself can not meet the experiment demand of a large amount of students, the experimental period of student
All it is restricted with space.For professional laboratory, instrument, clinical tutor, place and the time coordination of experiment etc. it is many because
The influence of element, under some industrial environments, the experiment that requirement condition is harsh, student's usually not chance is carried out, thus student
It is also just relatively weak to this kind of mastery of knowledge.In addition, the intersection of different subjects causes single professional laboratory lacks comprehensive
The integrated cognition of conjunction property.In this case, can set up professional Virtual Simulative Experiment room, and set up the different subjects of fusion,
The virtual laboratory of different majors, different kens, the digital virtual emulation completed based on this in the meaning of campus is real
Platform is tested, can not accomplish dormitory with reference to network, only rely on a computer, even one mobile phone and can complete the complete of virtual experimental
Into.Platform constructed by so is compared to traditional true laboratory except with cost savings, consumption reduction, energy mould
Beyond draft experiment process, reduction experiment teacher pressure, raising students ' interest of study and experiment success rate, the friendship of subject can also be made
Fork and fusion are truly realized the embodiment of practical operation aspect.
In addition, initiator of the teacher as student knowledge, while being also responsible in terms of community service and scientific research
Work.Teacher should preferably combine the specialized technical knowledge for helping enterprise to solve technical barrier with the knowwhy taught
Get up, by certain technological means, allow student to have the teaching efficiency placed oneself in the midst of in enterprise's production environment in learning process.It is empty
Intend simulated experimental teaching and be exactly one to allow student " on the spot in person ", the good instructional mode and means of theory with practice.
The virtual laboratory research of China is started late, but oneself is greatly paid attention to, and Some Universities establish oneself
Virtual laboratory.The automobile engine detecting system of such as Tsing-Hua University；The engineering test of HUST's Mechanical Academy is real
Test room；The virtual network soil-crop system pollution of trace laboratory that China Agricultural University sets up；The biomedical nano-device of Hunan University
Key lab；Mentality of designing of the Sichuan University based on virtual instrument, have developed " aeronautical radio station two wires comprehensive tester ", will be many
Platform instrument integration is in integrally composition virtual instrument system.Nanjing University, big Central China science and technology, Southeast China University, Fudan University, Shanghai are handed over
Great Deng colleges and universities, which also have developed new virtual instrument system, is used for teaching and scientific research.
But traditional virtual detects that teaching platform, by network access, virtual instrument is realized according to the parameter value being set
It is only the laboratory for moving virtual network to from laboratory on the spot with the detection of interlock circuit, real enterprise is not combined and is given birth to
Production process, lacks student and intuitively experiences；Secondly, traditional detection website lays particular emphasis on Labview software developments, and its advantage is just
Accessed in virtual and network remote, but it lacks the power of Signal and Information Processing；Finally, traditional virtual detection teaching
Content of platform is single, is only the Virtual Realization of equipment or detection means, lacks from entirety to part, from putting into practice to testing, from reality
Body shows virtual detection teaching platform to virtual multidisciplinary professional angle incision.
Therefore, for above-mentioned deficiency, the present invention builds a set electronic information, machinery, Civil Specialities knowledge and art
The virtual detection teaching platform of characteristic.The platform is existed based on website, and its content is the detection of ultra-thin materials production line uniformity,
Including ultra-thin materials thickness and surface defects detection.
The content of the invention
For problems of the prior art, the invention provides one kind by actual industrial production line and detection device,
The application software of virtual dynamic analog production line and detection device and detection device is combined, and student is felt in operation
With experiencing, the ability of the connection between theory and practice of student is improved.Student can be by the website visiting virtual experimental system, with reference to being learned
The professional knowledge such as Signals ＆ Systems, Digital Signal Processing fortune of the algorithm in industrial practice is further experienced by virtual practice
Virtual detection teaching platform and its application method with industrial ultra-thin materials production detection device.
The purpose of the present invention is achieved through the following technical solutions.
A kind of virtual detection teaching platform that detection device is produced with industrial ultra-thin materials, including Virtual Simulative Experiment room
It is entity detection device in three-dimensional environment module, Virtual Simulative Experiment room, Virtual Simulative Experiment room three-dimensional artificial detection device, virtual
Detect data module and virtual detection software program.
Further, the Virtual Simulative Experiment room three-dimensional environment module is using software Sketch up and Lumion dynamic
The laboratory of three dimensional stress entity and the detection device of laboratory internal.
Further, entity detection device includes the ultra-thin materials thickness for industry spot in the Virtual Simulative Experiment room
Degree detection device and surface defect machine visual detection device, laboratory debugging are regarded with thickness detecting equipment and surface defect machine
Feel detection device.
Further, the Virtual Simulative Experiment room three-dimensional artificial detection device is real using software Solid work three dimensional stresses
Test room debugging thickness detecting equipment, sweep mechanism and detection platform is static, detection platform is static in displaying thickness detecting equipment
With the scanning of sweep mechanism friction speed, detection platform is moved back and forth with friction speed and sweep mechanism is static, detection platform is not with
Moved back and forth with speed and sweep mechanism scans four kinds of modes with friction speed, realize virtual Thickness sensitivity process；It is described virtual
Simulation laboratory's three-dimensional artificial detection device is regarded using software Solid work three dimensional stresses laboratory debugging with surface defect machine
Detection device is felt, by the way that transmission mechanism in Dynamic Display surface defect machine visual detection device and CCD camera be static, surface lacks
Fall into transmission mechanism in machine visual detection device and, with friction speed transmission and the static two ways of CCD camera, realize virtual defect
Detection process.
Further, the thickness data of the actual ultra-thin materials of the virtual data detection module collection industry spot is saved as
Text formatting is implanted into platform, and the video of the virtual data detection module collection industry spot ultra-thin materials surface defects detection is deposited
For avi forms and all kinds of static defect pictures implantation platform.
Further, the virtual detection software program realizes that ultra-thin materials are thick using Matlab software development man-machine interfaces
Degree and surface defects detection, the virtual detection software program are used for the reading of text thickness data and avi defect video datas
Function；Image dynamic and static demo function；The filtering methods such as time-domain filtering, average filter, recursive filtering to thickness data
Selection and image show；At the images such as gray scale detection, binaryzation, rim detection to video data and static images data
Manage function.
A kind of virtual detection teaching platform application method that detection device is produced with industrial ultra-thin materials, it is characterised in that
Step includes：
Step 1：The content under " virtual detection simulation laboratory " catalogue is accessed, the content regards for the displaying of virtual laboratory
Frequently；
Step 2：The content under " entity detection device show area " catalogue is accessed, the content includes " enterprise's thickness measurement with laser
Instrument ", " teaching with laser thickness gauge ", " teaching defect detection equipment " and " the guide-lighting board assembly line thickness gauge of simulation " entity
Detection device；
Step 3：The content under " virtual detection show area " catalogue is accessed, the content is comprising " virtual instrument defects detection is put down
Platform is shown " and " teaching defect detection equipment graphics "；
Step 4：The content under " virtual software show area " catalogue is accessed, the content includes " Matlab virtual softwares ", " thickness
Spend inspection software, defects detection software " and " virtual thickness, defects detection software "；
Step 5：Website " experiment teaching materials " provides the guidance of 8 experiments, including " 1 two-dimension high-precision screw mandrel of experiment is passed
Dynamic and driving stepper motor is controlled ", " ipc monitor interface programmings design of the experiment 2 based on Matlab ", " experiment 3 is based on
Matlab serial communication and data acquisition ", " 4 leading screw Control System Designs of experiment ", " 5 static thickness high-acruracy surveys of experiment
With control ", " the two-dimentional dynamic thickness high-acruracy surveys of experiment 6 and control ", " more than 7 kinds of measurement data software processing of experiment is designed ",
" 8 slave computer observing and controlling of experiment are designed with display interface ".
Further, step 2 is specifically included：
Step 2.1：" enterprise's laser thickness gauge " catalogue is accessed, herein below is included：
Detection picture of the Part I comprising lithium battery film production process and the detection device, its content includes the " the 1st
Step：Preparation lithium battery chemical raw material ", " the 2nd step：Raw material is to entering feeding mouth ", " the 3rd step：Control panel adjusts blade thickness ",
" the 4th step：Do not solidify lithium battery be prepared to enter into insulating box cooling ", " the 5th step：Insulating box discharging ", " the 6th step：Laser is monitored on-line
Thickness device ", " the 7th step：Laser on-line monitoring thickness device software "；
Part II includes the picture concerned introduction of " second generation laser thickness gauge "；
Part III includes " enterprise's laser thickness gauge " related invention patent certificate and software copyright；
Part IV includes " enterprise's laser thickness gauge " online production video；
Step 2.2：Access " teaching laser thickness gauge " catalogue, picture concerned and test in laboratory comprising the calibrator
Video；
Step 2.3：Access " teaching defect detection equipment " catalogue, picture concerned and reality comprising the defect detection equipment
Test room detection video；
Step 2.4：Access " the guide-lighting board assembly line thickness gauge of simulation " catalogue, the picture concerned comprising the detection device
With test in laboratory video.
Further, step 3 is specifically included：
Step 3.1：" displaying of virtual instrument defect detection platform " catalogue is accessed, its content includes the platform and associated components
Dynamic 3 D video figure；
Step 3.2：Access " teaching defect detection equipment graphics " catalogue, its content includes the platform and associated components
Dynamic 3 D video figure；
Further, step 4 is specifically included：
Step 4.1：The part can download above-mentioned software, wherein can automatically switch after " Matlab virtual softwares " operation
And open " Thickness sensitivity software, defects detection software " and " virtual thickness, defects detection software ", " Thickness sensitivity software, defect
Inspection software " needs hardware and Matlab softwares to support operation, " virtual thickness, defects detection software " be not required to by hardware and
Matlab softwares are supported, you can operation；
Step 4.2：" virtual thickness, defects detection software " be one can installation kit, after locally downloading hard disk, it is not necessary to
Matlab softwares are installed, you can directly open；
In " thickness measuring part ", click on " measurement ", the static and dynamic enterprise's actual measurement lithium battery of sweep mechanism can be imported thick
Text data is spent, in graphical window it can be seen that data fluctuations image, " real-time thickness " window shows measured data thickness, is clicked on
" thickness data processing " can realize the filtering algorithms such as medium filtering, average filter, and by filtered data display in figure
Window；
At " video section ", click on " detection video ", enterprise's actual measurement lithium battery film surface defect video can be imported,
Actual photographed video is shown on the left of graphical display window, right side shows the image after gray scale conversion, binary conversion treatment；Click on
" detection image ", can import and actual defects image is shown on the left of lithium battery defect image, graphical display window, right side display warp
The image crossed after gray scale conversion, binary conversion treatment.
Compared to prior art, the advantage of the invention is that：The present invention realizes that industrial ultra-thin materials production detection device is moved
Plant in virtual detection teaching platform, the platform is based on website by industrial detection device and its video and figure of actually detected process
As implantation website, three dimensional stress detection device, three dimensional stress virtual laboratory and installation of 3d inspection is implanted into virtual laboratory, structure
Virtual ultra-thin materials consistency detection software, industrial production detected that thickness data and machine vision video data are virtualized and be used in combination
Software and data are realized above-mentioned on local computing after virtual software, user can be packed by network access download Matlab
The study and realization of detection process.The design of virtual detection teaching platform is realized by above-mentioned displaying and detection process, can be made
Student is without entering industrial production environment, any place at any time, without installing Matlab softwares, by entity detection process
It is combined with virtual detection software, data, the professional knowledge learned is used for the analysis and exploitation of software.
Brief description of the drawings
Fig. 1 is structured flowchart of the invention.
Fig. 2 is virtual detection software program structured flowchart of the invention.
Embodiment
With reference to Figure of description and specific embodiment, the present invention is described in detail.
As shown in figure 1, a kind of virtual detection teaching platform that detection device is produced with industrial ultra-thin materials, including it is virtual
Entity detection device, the inspection of Virtual Simulative Experiment room three-dimensional artificial in simulation laboratory's three-dimensional environment module, Virtual Simulative Experiment room
Measurement equipment, virtual detection data module and virtual detection software program.
The Virtual Simulative Experiment room three-dimensional environment module uses software Sketch up and Lumion dynamic 3 D entities
Laboratory and laboratory internal detection device.Entity ultra-thin materials consistency detection equipment is positioned over the laboratory of entity
Middle operation, all kinds of installation of 3d inspection of virtual experiment Shi Zhong primary placements, three-dimensional computer, three-dimensional desk etc..
Entity detection device includes setting for the ultra-thin materials Thickness sensitivity of industry spot in the Virtual Simulative Experiment room
Standby and surface defect machine visual detection device, laboratory debugging are set with thickness detecting equipment and surface defect Machine Vision Detection
It is standby.Virtual detection teaching platform relies on virtual detection website, and the thickness detecting equipment of industry spot and surface defect machine are regarded
Feel actually detected video (scanning and the display of software that include hardware) and the image implantation website of detection device.
The Virtual Simulative Experiment room three-dimensional artificial detection device is debugged using software Solid work three dimensional stresses laboratory
With thickness detecting equipment, sweep mechanism and detection platform is static, detection platform is static and scanning machine in displaying thickness detecting equipment
Structure friction speed is scanned, detection platform is moved back and forth with friction speed and sweep mechanism is static, detection platform is past with friction speed
Multiple motion and sweep mechanism scan four kinds of modes with friction speed, realize virtual Thickness sensitivity process；The Virtual Simulative Experiment
Room three-dimensional artificial detection device is set using software Solid work three dimensional stresses laboratory debugging with surface defect Machine Vision Detection
It is standby, by the way that transmission mechanism in Dynamic Display surface defect machine visual detection device and CCD camera be static, surface defect machine is regarded
Feel that transmission mechanism, with friction speed transmission and the static two ways of CCD camera, realizes virtual defect inspection process in detection device.
The thickness data of the actual ultra-thin materials of the virtual data detection module collection industry spot saves as text formatting
Platform is implanted into, the video of the virtual data detection module collection industry spot ultra-thin materials surface defects detection saves as avi lattice
Formula and all kinds of static defect pictures implantation platform.2 kinds of data of the above are data when virtual detection software realizes virtual detection
Source.
The virtual detection software block diagram is as shown in Fig. 2 the virtual detection software program uses Matlab softwares
Exploitation man-machine interface realizes ultra-thin materials thickness and surface defects detection, and the virtual detection software program is used for text thickness number
According to the read functions with avi defect video datas；Image dynamic and static demo function；It is time-domain filtering to thickness data, flat
The selection of the filtering method such as filtering, recursive filtering and image are shown；Gray scale inspection to video data and static images data
The image procossings such as survey, binaryzation, rim detection.The software is realized that traditional Matlab softwares are typically up to by Matlab man-machine interfaces
Several G sizes, Matlab specialist tools bag can be only needed to install a 100-200M's or so to the Software package after packing
Executable (EXE) file, you can realize realization of the software in different bit machines, the virtual emulation of different operating system.
In addition, platform provides Matlab original programs, user can download and debug, open on local computing Matlab softwares
Hair, further expands the use function of the software.
A kind of virtual detection teaching platform application method that detection device is produced with industrial ultra-thin materials, it is characterised in that
Step includes：
Step 1：The content under " virtual detection simulation laboratory " catalogue is accessed, the content regards for the displaying of virtual laboratory
Frequently, installation of 3d inspection in three-dimensional experiment room environmental can be fully understanded after clicking on.
Step 2：The content under " entity detection device show area " catalogue is accessed, the content includes " enterprise's thickness measurement with laser
Instrument ", " teaching with laser thickness gauge ", " teaching defect detection equipment " and " the guide-lighting board assembly line thickness gauge of simulation " entity
Detection device.
Step 2.1：" enterprise's laser thickness gauge " catalogue is accessed, herein below is included：
Detection picture of the Part I comprising lithium battery film production process and the detection device.Its content includes the " the 1st
Step：Preparation lithium battery chemical raw material ", " the 2nd step：Raw material is to entering feeding mouth ", " the 3rd step：Control panel adjusts blade thickness ",
" the 4th step：Do not solidify lithium battery be prepared to enter into insulating box cooling ", " the 5th step：Insulating box discharging ", " the 6th step：Laser is monitored on-line
Thickness device ", " the 7th step：Laser on-line monitoring thickness device software ".
Part II includes the picture concerned introduction of " second generation laser thickness gauge ".
Part III includes " enterprise's laser thickness gauge " related invention patent certificate and software copyright.
Part IV includes " enterprise's laser thickness gauge " online production video.
Step 2.2：Access " teaching laser thickness gauge " catalogue, picture concerned and test in laboratory comprising the calibrator
Video.
Step 2.3：Access " teaching defect detection equipment " catalogue, picture concerned and reality comprising the defect detection equipment
Test room detection video.
Step 2.4：Access " the guide-lighting board assembly line thickness gauge of simulation " catalogue, the picture concerned comprising the detection device
With test in laboratory video.
Step 3：The content under " virtual detection show area " catalogue is accessed, the content is comprising " virtual instrument defects detection is put down
Platform is shown " and " teaching defect detection equipment graphics ".
Step 3.1：" displaying of virtual instrument defect detection platform " catalogue is accessed, its content includes the platform and associated components
Dynamic 3 D video figure.
Step 3.2：Access " teaching defect detection equipment graphics " catalogue, its content includes the platform and associated components
Dynamic 3 D video figure.
Step 4：The content under " virtual software show area " catalogue is accessed, the content includes " Matlab virtual softwares ", " thickness
Spend inspection software, defects detection software " and " virtual thickness, defects detection software ".
Step 4.1：The part can download above-mentioned software, wherein can automatically switch after " Matlab virtual softwares " operation
And open " Thickness sensitivity software, defects detection software " and " virtual thickness, defects detection software "." Thickness sensitivity software, defect
Inspection software " needs hardware and Matlab softwares to support operation, " virtual thickness, defects detection software " be not required to by hardware and
Matlab softwares are supported, you can operation.
Step 4.2：" virtual thickness, defects detection software " be one can installation kit, after locally downloading hard disk, it is not necessary to
Matlab softwares are installed, you can directly open.
In " thickness measuring part ", click on " measurement ", the static and dynamic enterprise's actual measurement lithium battery of sweep mechanism can be imported thick
Text data is spent, in graphical window it can be seen that data fluctuations image." real-time thickness " window shows measured data thickness.Click on
" thickness data processing " can realize the filtering algorithms such as medium filtering, average filter, and by filtered data display in figure
Window.
At " video section ", click on " detection video ", enterprise's actual measurement lithium battery film surface defect video can be imported,
Actual photographed video is shown on the left of graphical display window, right side shows the image after gray scale conversion, binary conversion treatment.Click on
" detection image ", can import and actual defects image is shown on the left of lithium battery defect image, graphical display window, right side display warp
The image crossed after gray scale conversion, binary conversion treatment.
Step 5：Website " experiment teaching materials " provides the guidance of 8 experiments, including " 1 two-dimension high-precision screw mandrel of experiment is passed
Dynamic and driving stepper motor is controlled ", " ipc monitor interface programmings design of the experiment 2 based on Matlab ", " experiment 3 is based on
Matlab serial communication and data acquisition ", " 4 leading screw Control System Designs of experiment ", " 5 static thickness high-acruracy surveys of experiment
With control ", " the two-dimentional dynamic thickness high-acruracy surveys of experiment 6 and control ", " more than 7 kinds of measurement data software processing of experiment is designed ",
" 8 slave computer observing and controlling of experiment are designed with display interface ".It may be referred to related guidance book and realize various experiments.
Claims (10)
1. a kind of virtual detection teaching platform that detection device is produced with industrial ultra-thin materials, it is characterised in that including virtual imitative
Entity detection device, the detection of Virtual Simulative Experiment room three-dimensional artificial in true experiment room three-dimensional environment module, Virtual Simulative Experiment room
Equipment, virtual detection data module and virtual detection software program.
2. a kind of virtual detection teaching platform that detection device is produced with industrial ultra-thin materials according to claim 1,
It is characterized in that the Virtual Simulative Experiment room three-dimensional environment module is real using software Sketch up and Lumion dynamic 3 Dization
The laboratory of body and the detection device of laboratory internal.
3. a kind of virtual detection teaching platform that detection device is produced with industrial ultra-thin materials according to claim 1,
It is characterized in that entity detection device includes the ultra-thin materials Thickness sensitivity for industry spot in the Virtual Simulative Experiment room
Equipment and surface defect machine visual detection device, laboratory debugging thickness detecting equipment and surface defect Machine Vision Detection
Equipment.
4. a kind of virtual detection teaching platform that detection device is produced with industrial ultra-thin materials according to claim 1,
It is characterized in that the Virtual Simulative Experiment room three-dimensional artificial detection device is adjusted using software Solid work three dimensional stresses laboratory
Sweep mechanism and detection platform are static in Trial Thickness detection device, displaying thickness detecting equipment, detection platform is static and scans
Mechanism friction speed is scanned, detection platform is moved back and forth with friction speed and sweep mechanism is static, detection platform is with friction speed
Move back and forth and sweep mechanism scans four kinds of modes with friction speed, realize virtual Thickness sensitivity process；The virtual emulation is real
Room three-dimensional artificial detection device is tested using software Solid work three dimensional stresses laboratory debugging surface defect Machine Vision Detection
Equipment, by the way that transmission mechanism in Dynamic Display surface defect machine visual detection device and CCD camera be static, surface defect machine
Transmission mechanism realizes virtual defects detection mistake with friction speed transmission and the static two ways of CCD camera in visual detection equipment
Journey.
5. a kind of virtual detection teaching platform that detection device is produced with industrial ultra-thin materials according to claim 1,
It is characterized in that the thickness data of the actual ultra-thin materials of the virtual data detection module collection industry spot saves as text lattice
Formula is implanted into platform, and the video of the virtual data detection module collection industry spot ultra-thin materials surface defects detection saves as avi
Form and all kinds of static defect pictures implantation platform.
6. a kind of virtual detection teaching platform that detection device is produced with industrial ultra-thin materials according to claim 1,
It is characterized in that the virtual detection software program realizes ultra-thin materials thickness and table using Matlab software development man-machine interfaces
Planar defect detects that the virtual detection software program is used for the read functions of text thickness data and avi defect video datas；Figure
As dynamic and static demo function；The selection of the filtering methods such as time-domain filtering, average filter, recursive filtering to thickness data with
And image is shown；The image procossings such as gray scale detection, binaryzation, rim detection to video data and static images data.
7. a kind of virtual detection teaching platform application method that detection device is produced with industrial ultra-thin materials, it is characterised in that step
Suddenly include：
Step 1：The content under " virtual detection simulation laboratory " catalogue is accessed, the content is the displaying video of virtual laboratory；
Step 2：Access " entity detection device show area " catalogue under content, the content comprising " enterprise's laser thickness gauge ",
" teaching with laser thickness gauge ", " teaching defect detection equipment " and " the guide-lighting board assembly line thickness gauge of simulation " entity are detected
Equipment；
Step 3：The content under " virtual detection show area " catalogue is accessed, the content includes " virtual instrument defect detection platform exhibition
Show " and " teaching defect detection equipment graphics "；
Step 4：The content under " virtual software show area " catalogue is accessed, the content is comprising " Matlab virtual softwares ", " thickness is examined
Survey software, defects detection software " and " virtual thickness, defects detection software "；
Step 5：Website " experiment teaching materials " provide 8 experiment guidances, including " experiment 1 two-dimension high-precision screw rod transmission and
Driving stepper motor control ", " experiment 2 based on Matlab ipc monitor interface programmings design ", " experiment 3 be based on Matlab
Serial communication and data acquisition ", " experiment 4 leading screw Control System Designs ", " 5 static thickness high-acruracy surveys of experiment and control
System ", " the two-dimentional dynamic thickness high-acruracy survey of experiment 6 and control ", " more than 7 kinds of measurement data software processing of experiment is designed ", " experiment
8 slave computer observing and controlling are designed with display interface ".
8. a kind of virtual detection teaching platform with industrial ultra-thin materials production detection device according to claim 7 makes
With method, it is characterised in that step 2 is specifically included：
Step 2.1：" enterprise's laser thickness gauge " catalogue is accessed, herein below is included：
Detection picture of the Part I comprising lithium battery film production process and the detection device, its content includes " the 1st step：It is accurate
Standby lithium battery chemical raw material ", " the 2nd step：Raw material is to entering feeding mouth ", " the 3rd step：Control panel adjustment blade thickness ", " the 4th step：
Do not solidify lithium battery be prepared to enter into insulating box cooling ", " the 5th step：Insulating box discharging ", " the 6th step：Laser on-line monitoring thickness dress
Put ", " the 7th step：Laser on-line monitoring thickness device software "；
Part II includes the picture concerned introduction of " second generation laser thickness gauge "；
Part III includes " enterprise's laser thickness gauge " related invention patent certificate and software copyright；
Part IV includes " enterprise's laser thickness gauge " online production video；
Step 2.2：" teaching laser thickness gauge " catalogue is accessed, picture concerned and test in laboratory comprising the calibrator are regarded
Frequently；
Step 2.3：Access " teaching defect detection equipment " catalogue, picture concerned and laboratory comprising the defect detection equipment
Detect video；
Step 2.4：Access " the guide-lighting board assembly line thickness gauge of simulation " catalogue, picture concerned and reality comprising the detection device
Test room detection video.
9. a kind of virtual detection teaching platform with industrial ultra-thin materials production detection device according to claim 7 makes
With method, it is characterised in that step 3 is specifically included：
Step 3.1：" displaying of virtual instrument defect detection platform " catalogue is accessed, its content includes moving for the platform and associated components
State 3 D video figure；
Step 3.2：" teaching defect detection equipment graphics " catalogue is accessed, its content includes the dynamic of the platform and associated components
3 D video figure；
10. a kind of virtual detection teaching platform that detection device is produced with industrial ultra-thin materials according to claim 7
Application method, it is characterised in that step 4 is specifically included：
Step 4.1：The part can download above-mentioned software, wherein can automatically switch and beat after " Matlab virtual softwares " operation
Open " Thickness sensitivity software, defects detection software " and " virtual thickness, defects detection software ", " Thickness sensitivity software, defects detection
Software " needs hardware and Matlab softwares to support operation, and " virtual thickness, defects detection software " is not required to by hardware and Matlab
Software is supported, you can operation；
Step 4.2：" virtual thickness, defects detection software " be one can installation kit, after locally downloading hard disk, it is not necessary to install
Matlab softwares, you can directly open；
In " thickness measuring part ", click on " measurement ", the static and dynamic enterprise's actual measurement lithium battery thickness text of sweep mechanism can be imported
Notebook data, in graphical window it can be seen that data fluctuations image, " real-time thickness " window shows measured data thickness, is clicked on " thick
Degrees of data processing " can realize the filtering algorithms such as medium filtering, average filter, and by filtered data display in figure window
Mouthful；
At " video section ", click on " detection video ", enterprise's actual measurement lithium battery film surface defect video can be imported, in figure
Actual photographed video is shown on the left of display window, right side shows the image after gray scale conversion, binary conversion treatment；Click on " inspection
Altimetric image ", can import and actual defects image is shown on the left of lithium battery defect image, graphical display window, and right side display is passed through
Image after gray scale conversion, binary conversion treatment.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710366147.6A CN107103811A (en) | 2017-05-23 | 2017-05-23 | A kind of virtual detection teaching platform and its application method with industrial ultra-thin materials production detection device |
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| CN201710366147.6A CN107103811A (en) | 2017-05-23 | 2017-05-23 | A kind of virtual detection teaching platform and its application method with industrial ultra-thin materials production detection device |
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| CN107103811A true CN107103811A (en) | 2017-08-29 |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107728889A (en) * | 2017-11-02 | 2018-02-23 | 安徽理工大学 | A kind of virtual reynolds experiment system based on LabVIEW |
| CN107862925A (en) * | 2017-12-28 | 2018-03-30 | 河南云投小镇创业孵化器有限公司 | A kind of tutoring system of computer software technology exploitation |
| CN108876768A (en) * | 2018-05-30 | 2018-11-23 | 杭州舜浩科技有限公司 | Light guide plate shadow defect inspection method |
| WO2023096064A1 (en) * | 2021-11-26 | 2023-06-01 | 주식회사 엘지에너지솔루션 | Mixer simulation device and method for secondary battery production |
| WO2023101129A1 (en) * | 2021-11-30 | 2023-06-08 | 주식회사 엘지에너지솔루션 | Roll-press simulation device and method for secondary battery production |
| WO2023101134A1 (en) * | 2021-12-01 | 2023-06-08 | 주식회사 엘지에너지솔루션 | Package simulation apparatus and method for secondary battery production |
| WO2023101132A1 (en) * | 2021-12-02 | 2023-06-08 | 주식회사 엘지에너지솔루션 | Degas simulation apparatus and method for secondary battery production |
| WO2023106542A1 (en) * | 2021-12-08 | 2023-06-15 | 주식회사 엘지에너지솔루션 | Mold notching machine simulation device and method for secondary battery production |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101576440A (en) * | 2009-06-22 | 2009-11-11 | 北京航空航天大学 | Virtual testing platform of liquid rock engine and testing method thereof |
| CN102651180A (en) * | 2012-04-09 | 2012-08-29 | 上海交通大学 | OSG-based (open scene graph-based) electric-electronic virtual experiment simulation system |
| CN104504632A (en) * | 2014-12-26 | 2015-04-08 | 重庆机电职业技术学院 | Method for establishing virtual simulation teaching practical training platform |
| CN104834770A (en) * | 2015-04-20 | 2015-08-12 | 沈阳化工大学 | Fluid resistance virtual experiment system in chemical engineering based on mobile technology |
| KR20160111712A (en) * | 2015-03-17 | 2016-09-27 | 주식회사 라온텍 | Dummy for practicing cpr and method controlling vibration thereof |
| CN106599418A (en) * | 2016-12-01 | 2017-04-26 | 北京金恒博远冶金技术发展有限公司 | Rolling forward-slip measurement virtual experiment method and system |
| CN107025830A (en) * | 2016-01-29 | 2017-08-08 | 北京新唐思创教育科技有限公司 | The analogy method and device of a kind of teaching experiment |
| CN107424502A (en) * | 2017-05-17 | 2017-12-01 | 仲恺农业工程学院 | A kind of virtual experimental teaching platform based on Unity3D |
-
2017
- 2017-05-23 CN CN201710366147.6A patent/CN107103811A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101576440A (en) * | 2009-06-22 | 2009-11-11 | 北京航空航天大学 | Virtual testing platform of liquid rock engine and testing method thereof |
| CN102651180A (en) * | 2012-04-09 | 2012-08-29 | 上海交通大学 | OSG-based (open scene graph-based) electric-electronic virtual experiment simulation system |
| CN104504632A (en) * | 2014-12-26 | 2015-04-08 | 重庆机电职业技术学院 | Method for establishing virtual simulation teaching practical training platform |
| KR20160111712A (en) * | 2015-03-17 | 2016-09-27 | 주식회사 라온텍 | Dummy for practicing cpr and method controlling vibration thereof |
| CN104834770A (en) * | 2015-04-20 | 2015-08-12 | 沈阳化工大学 | Fluid resistance virtual experiment system in chemical engineering based on mobile technology |
| CN107025830A (en) * | 2016-01-29 | 2017-08-08 | 北京新唐思创教育科技有限公司 | The analogy method and device of a kind of teaching experiment |
| CN106599418A (en) * | 2016-12-01 | 2017-04-26 | 北京金恒博远冶金技术发展有限公司 | Rolling forward-slip measurement virtual experiment method and system |
| CN107424502A (en) * | 2017-05-17 | 2017-12-01 | 仲恺农业工程学院 | A kind of virtual experimental teaching platform based on Unity3D |
Non-Patent Citations (1)
| Title |
|---|
| 陈功 等: "《锂电池极片质量监控系统的设计和实现》", 《仪表技术及传感器》 * |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107728889A (en) * | 2017-11-02 | 2018-02-23 | 安徽理工大学 | A kind of virtual reynolds experiment system based on LabVIEW |
| CN107862925A (en) * | 2017-12-28 | 2018-03-30 | 河南云投小镇创业孵化器有限公司 | A kind of tutoring system of computer software technology exploitation |
| CN108876768A (en) * | 2018-05-30 | 2018-11-23 | 杭州舜浩科技有限公司 | Light guide plate shadow defect inspection method |
| CN108876768B (en) * | 2018-05-30 | 2022-05-06 | 金名山光电(吴江)有限公司 | Shadow defect detection method for light guide plate |
| WO2023096064A1 (en) * | 2021-11-26 | 2023-06-01 | 주식회사 엘지에너지솔루션 | Mixer simulation device and method for secondary battery production |
| WO2023101129A1 (en) * | 2021-11-30 | 2023-06-08 | 주식회사 엘지에너지솔루션 | Roll-press simulation device and method for secondary battery production |
| WO2023101134A1 (en) * | 2021-12-01 | 2023-06-08 | 주식회사 엘지에너지솔루션 | Package simulation apparatus and method for secondary battery production |
| WO2023101132A1 (en) * | 2021-12-02 | 2023-06-08 | 주식회사 엘지에너지솔루션 | Degas simulation apparatus and method for secondary battery production |
| WO2023106542A1 (en) * | 2021-12-08 | 2023-06-15 | 주식회사 엘지에너지솔루션 | Mold notching machine simulation device and method for secondary battery production |
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